This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

Table 1. Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue Howard Bayes
Time series 1999 - present 1977 - present
Bias in SWHS Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests. Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data. Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas. Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with. By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.
**Figure 1.**- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.


**Figure 2.**- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).


Results

**Figure X.**- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

**Figure 3.**- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 3.**- Total rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.


Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

**Figure 4.**- Black rockfish harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.


And black rockfish releases…

**Figure 5.**- Black rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.





**Figure 6.**- Yellow rockfish harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 7.**- Yellow rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.





**Figure 8.**- DSR rockfish (excluding yelloweye) harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 9.**- DSR rockfish releases (including yelloweye) 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 11.**- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 12.**- Slope rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

**Figure 13.**- *Other* rockfish (non-pelagic and non-yelloweye) harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 14.**- *Other* rockfish (non-pelagic and non-yelloweye) releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



Total Biomass Removal Estimates

**Figure 15.**- Black rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.



**Figure 16.**- Yellow rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

**Figure 17.**- Pelagic rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


**Figure 18.**- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


**Figure 19.**- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


Model fit

Logbook residuals

**Figure 20.**- Residuals from logbook harvests.

Figure 20.- Residuals from logbook harvests.


SWHS residuals

**Figure 21.**- Residuals from SWHS harvests.

Figure 21.- Residuals from SWHS harvests.



**Figure 22.**- Residual of SWHS releases.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

**Figure 23.**- Mean percent of harvest by charter anglers.

Figure 23.- Mean percent of harvest by charter anglers.


When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

**Figure 24.**- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.


**Figure 25.**- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.


**Figure 26.**- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.


**Figure 27.**- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.


**Figure 28.**- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.


**Figure 29.**- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

**Figure 30.**- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS *underestimates* the true value and bias > 1 indicates the survey *overestimates* the true value.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.


Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

**Figure 31.**- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS *underestimates* the true value and bias > 1 indicates the survey *overestimates* the true value.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

**Figure 32.**- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

**Figure 33.**- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

**Figure 34.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

**Figure 35.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

**Figure 36.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.



P(slope|non-pelagic & non-yellowye) For release estimates

## NULL



Weight Fits

**Figure 37.**- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 38.**- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 39.**- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 40.**- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 41.**- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.8613861

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.04 while 0.96 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable

area_n

year

user

mean

median

lower

upper

Rhat

sd

skew

area

p_pelagic

13

1

1

0.231

0.206

0.056

0.531

1.011

0.126

0.198

NSEI

p_pelagic

13

13

1

0.280

0.264

0.092

0.555

1.010

0.123

0.130

NSEI

p_pelagic

13

17

2

0.128

0.115

0.038

0.297

1.013

0.067

0.193

NSEI

p_pelagic

13

2

1

0.232

0.204

0.059

0.543

1.014

0.127

0.220

NSEI

p_pelagic

13

3

1

0.233

0.206

0.060

0.541

1.013

0.125

0.217

NSEI

p_pelagic

13

4

1

0.235

0.210

0.064

0.537

1.013

0.124

0.202

NSEI

p_pelagic

13

4

2

0.092

0.075

0.019

0.260

1.014

0.064

0.267

NSEI

p_pelagic

13

5

1

0.239

0.219

0.055

0.535

1.011

0.126

0.159

NSEI

p_pelagic

13

6

1

0.239

0.216

0.062

0.544

1.012

0.125

0.184

NSEI

p_pelagic

13

6

2

0.095

0.079

0.021

0.261

1.019

0.064

0.252

NSEI

p_pelagic

13

8

2

0.099

0.082

0.022

0.270

1.010

0.065

0.262

NSEI

p_pelagic

13

9

2

0.100

0.084

0.024

0.268

1.015

0.064

0.252

NSEI

p_pelagic

4

6

1

0.544

0.547

0.278

0.782

1.010

0.131

-0.023

PWSO

p_black

8

37

1

0.389

0.378

0.319

0.469

1.256

0.085

0.129

afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable

area_n

year/species

mean

median

lower

upper

Rhat

sd

skew

year

area

beta1_pH

10

1

2.211

2.121

1.465

3.896

1.109

0.549

0.164

northeast

beta0_yellow

11

-0.221

-0.189

-0.617

0.013

1.198

0.206

-0.156

CSEO

beta1_pH

9

1

2.096

1.937

1.206

4.153

1.123

0.690

0.231

eastside

lambda_H

15

0.021

0.014

0.003

0.066

1.252

0.062

0.112

SSEI

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic

non.BSAI.SOKO.Harv

BSAI.SOKO.Harv

non.BSAI.SOKO.Rel

BSAI.SOKO.Rel

n unconverged at Rhat = 1.01

185.00

199.00

818.00

300.00

Prop. of total

0.48

0.52

0.73

0.27

Prop. median less than 1

0.54

0.28

0.36

0.44

Prop. median less than 10

0.75

0.67

0.59

0.78

Prop. median less than 50

0.89

0.86

0.73

0.86

Median of the median values

0.81

3.90

4.09

1.51

Mean of the median values

45.98

79.66

208.68

115.62

Mean skew of posteriors

0.28

0.29

0.27

0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic

non.BSAI.SOKO.Harv

BSAI.SOKO.Harv

non.BSAI.SOKO.Rel

BSAI.SOKO.Rel

n unconverged at Rhat = 1.1

2.00

7.00

49.00

27.00

Prop. of total

0.22

0.78

0.64

0.36

Prop. median less than 1

0.50

0.71

0.84

0.56

Prop. median less than 10

0.50

0.86

0.92

0.93

Prop. median less than 50

0.50

1.00

0.94

0.93

Median of the median values

383.09

0.15

0.01

0.19

Mean of the median values

383.09

6.86

18.54

20.68

Mean skew of posteriors

0.15

0.18

0.12

0.17

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable

Freq

beta0_yellow

1

beta1_pH

1

eps_bl

1

H_ayg

1

H_ayu

1

Hb_ay

2

Hb_ayg

2

Ho_ay

2

Ho_ayu

3

Hp_ay

1

Hp_ayg

1

Hs_ayu

1

Hy_ay

1

Hy_ayg

1

Hy_ayu

1

lambda_H

1

p_black

1

p_slope

1

R_ayg

1

R_ayu

4

Rb_ayg

2

Rd_ay

2

Rd_ayu

3

re_black

1

Ro_ay

11

Ro_ayg

4

Ro_ayu

39

Rp_ayg

1

Rs_ayg

4

Rs_ayu

4

Ry_ay

10

Ry_ayg

2

Ry_ayu

17

Parameter estimates:

Summary Table of Parameter Estimates
Parameter mean sd Lower_CI Median Upper_CI
mu_bc_H[1] -0.018 0.069 -0.150 -0.021 0.122
mu_bc_H[2] 0.077 0.054 -0.019 0.076 0.187
mu_bc_H[3] -0.271 0.067 -0.398 -0.273 -0.135
mu_bc_H[4] -0.923 0.185 -1.297 -0.915 -0.568
mu_bc_H[5] 1.363 1.093 0.131 1.104 4.152
mu_bc_H[6] -2.391 0.316 -2.997 -2.404 -1.747
mu_bc_H[7] -0.453 0.102 -0.660 -0.453 -0.251
mu_bc_H[8] 0.257 0.350 -0.313 0.220 1.026
mu_bc_H[9] -0.246 0.123 -0.479 -0.246 0.002
mu_bc_H[10] 0.058 0.065 -0.065 0.058 0.187
mu_bc_H[11] -0.123 0.037 -0.197 -0.124 -0.051
mu_bc_H[12] -0.255 0.109 -0.481 -0.250 -0.050
mu_bc_H[13] -0.160 0.073 -0.302 -0.159 -0.011
mu_bc_H[14] -0.306 0.089 -0.483 -0.302 -0.134
mu_bc_H[15] -0.333 0.047 -0.424 -0.334 -0.238
mu_bc_H[16] -0.142 0.369 -0.776 -0.176 0.698
mu_bc_R[1] 1.043 0.122 0.803 1.044 1.279
mu_bc_R[2] 1.017 0.077 0.856 1.020 1.165
mu_bc_R[3] 0.222 0.090 0.041 0.223 0.387
mu_bc_R[4] 0.675 0.197 0.283 0.679 1.061
mu_bc_R[5] 1.680 0.363 0.961 1.681 2.355
mu_bc_R[6] -1.438 0.348 -2.114 -1.446 -0.737
mu_bc_R[7] 0.520 0.166 0.183 0.521 0.836
mu_bc_R[8] 0.657 0.148 0.371 0.656 0.952
mu_bc_R[9] 0.383 0.165 0.035 0.389 0.691
mu_bc_R[10] 0.896 0.105 0.687 0.896 1.100
mu_bc_R[11] 1.099 0.077 0.953 1.097 1.250
mu_bc_R[12] 0.867 0.164 0.537 0.868 1.180
mu_bc_R[13] 1.033 0.088 0.854 1.035 1.204
mu_bc_R[14] 0.857 0.122 0.615 0.856 1.096
mu_bc_R[15] 0.779 0.097 0.585 0.778 0.967
mu_bc_R[16] 1.265 0.113 1.043 1.266 1.479
tau_pH[1] 2.455 0.189 2.109 2.443 2.841
tau_pH[2] 1.567 0.148 1.300 1.562 1.863
tau_pH[3] 2.279 0.302 1.733 2.262 2.915
tau_pH[4] 1.119 0.177 0.817 1.101 1.495
tau_pH[5] 0.790 0.127 0.562 0.782 1.076
beta0_pH[1,1] 0.556 0.172 0.204 0.565 0.866
beta0_pH[2,1] 1.426 0.155 1.107 1.432 1.715
beta0_pH[3,1] 1.395 0.222 0.834 1.419 1.753
beta0_pH[4,1] 1.557 0.253 0.972 1.583 1.965
beta0_pH[5,1] -0.782 0.398 -1.754 -0.733 -0.161
beta0_pH[6,1] -0.542 0.471 -1.852 -0.421 0.055
beta0_pH[7,1] 0.752 0.011 0.732 0.752 0.772
beta0_pH[8,1] -0.611 0.343 -1.420 -0.578 -0.044
beta0_pH[9,1] -0.320 0.309 -0.997 -0.291 0.183
beta0_pH[10,1] 0.275 0.222 -0.206 0.292 0.664
beta0_pH[11,1] 0.042 0.311 -0.593 0.051 0.586
beta0_pH[12,1] 0.622 0.192 0.227 0.630 0.994
beta0_pH[13,1] -0.663 0.156 -0.993 -0.656 -0.382
beta0_pH[14,1] 0.002 0.174 -0.348 0.008 0.328
beta0_pH[15,1] 0.050 0.189 -0.377 0.065 0.382
beta0_pH[16,1] -0.857 0.218 -1.326 -0.849 -0.464
beta0_pH[1,2] 2.566 0.087 2.403 2.562 2.749
beta0_pH[2,2] 3.078 0.022 3.035 3.077 3.120
beta0_pH[3,2] 3.625 0.041 3.548 3.625 3.709
beta0_pH[4,2] 2.936 0.020 2.898 2.937 2.974
beta0_pH[5,2] 4.553 1.528 2.684 4.252 8.360
beta0_pH[6,2] 3.328 0.157 3.039 3.319 3.652
beta0_pH[7,2] 2.026 0.051 1.930 2.025 2.126
beta0_pH[8,2] 2.822 0.066 2.694 2.821 2.953
beta0_pH[9,2] 3.962 0.210 3.571 3.954 4.395
beta0_pH[10,2] 4.001 0.130 3.769 3.995 4.275
beta0_pH[11,2] 1.888 0.009 1.871 1.888 1.906
beta0_pH[12,2] 1.801 0.069 1.667 1.803 1.936
beta0_pH[13,2] 2.498 0.027 2.445 2.498 2.551
beta0_pH[14,2] 1.805 0.024 1.761 1.804 1.854
beta0_pH[15,2] 2.550 0.017 2.517 2.550 2.581
beta0_pH[16,2] 2.775 0.024 2.727 2.775 2.824
beta0_pH[1,3] 0.697 0.574 -0.796 0.847 1.382
beta0_pH[2,3] 2.126 0.017 2.093 2.126 2.159
beta0_pH[3,3] 2.690 0.024 2.643 2.690 2.737
beta0_pH[4,3] 2.982 0.034 2.918 2.981 3.050
beta0_pH[5,3] 3.897 2.690 0.954 3.148 11.129
beta0_pH[6,3] 1.254 0.321 0.676 1.237 1.934
beta0_pH[7,3] 0.856 0.051 0.756 0.857 0.955
beta0_pH[8,3] 0.285 0.125 0.014 0.290 0.500
beta0_pH[9,3] -2.912 1.121 -5.357 -2.775 -0.990
beta0_pH[10,3] -0.913 0.888 -3.036 -0.809 0.518
beta0_pH[11,3] 0.113 11.920 -22.535 -0.083 24.671
beta0_pH[12,3] 0.032 11.639 -22.707 -0.023 23.740
beta0_pH[13,3] -0.190 11.785 -22.856 -0.586 23.558
beta0_pH[14,3] 0.125 11.679 -22.406 0.082 23.653
beta0_pH[15,3] 0.098 11.800 -22.778 -0.238 23.876
beta0_pH[16,3] 0.283 11.589 -22.050 0.249 22.749
beta0_pH[11,4] 1.008 0.668 -0.667 1.069 2.134
beta0_pH[12,4] 0.866 0.806 -0.989 0.901 2.283
beta0_pH[13,4] 0.759 0.719 -1.101 0.847 1.961
beta0_pH[14,4] 0.341 0.567 -0.932 0.405 1.299
beta0_pH[15,4] 0.688 0.605 -0.683 0.727 1.859
beta0_pH[16,4] 1.033 0.701 -0.553 1.064 2.350
beta0_pH[11,5] 1.668 0.084 1.517 1.665 1.845
beta0_pH[12,5] -1.419 0.450 -2.373 -1.400 -0.602
beta0_pH[13,5] 2.228 0.253 1.811 2.202 2.794
beta0_pH[14,5] 1.901 0.319 1.390 1.869 2.579
beta0_pH[15,5] 1.109 0.064 0.993 1.104 1.250
beta0_pH[16,5] -0.736 0.053 -0.840 -0.738 -0.629
beta1_pH[1,1] 2.582 0.488 1.825 2.515 3.779
beta1_pH[2,1] 1.591 0.300 1.043 1.575 2.211
beta1_pH[3,1] 1.819 0.450 1.121 1.753 3.070
beta1_pH[4,1] 1.943 0.482 1.227 1.858 3.231
beta1_pH[5,1] 2.305 0.538 1.499 2.225 3.687
beta1_pH[6,1] 2.220 0.885 1.081 1.976 4.507
beta1_pH[7,1] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,1] 2.434 0.934 1.185 2.191 4.673
beta1_pH[9,1] 2.096 0.690 1.206 1.937 4.153
beta1_pH[10,1] 2.211 0.549 1.465 2.121 3.896
beta1_pH[11,1] 3.362 0.535 2.497 3.295 4.640
beta1_pH[12,1] 2.909 0.285 2.369 2.904 3.483
beta1_pH[13,1] 3.467 0.246 3.013 3.458 3.969
beta1_pH[14,1] 2.864 0.327 2.261 2.844 3.538
beta1_pH[15,1] 2.408 0.275 1.906 2.393 3.015
beta1_pH[16,1] 4.019 0.303 3.450 4.012 4.655
beta1_pH[1,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[2,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[3,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[4,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[5,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[6,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[7,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[9,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[10,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[11,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[12,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[13,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[14,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[15,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[16,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[1,3] 3.456 1.677 1.235 2.987 7.428
beta1_pH[2,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[3,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[4,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[5,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[6,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[7,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,3] 4.778 2.232 2.201 4.085 10.994
beta1_pH[9,3] 8.517 2.639 4.079 8.118 14.056
beta1_pH[10,3] 7.227 2.743 3.154 6.755 13.450
beta1_pH[11,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[12,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[13,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[14,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[15,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[16,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[11,4] 2.176 0.711 0.870 2.141 3.779
beta1_pH[12,4] 3.301 0.812 1.910 3.243 5.285
beta1_pH[13,4] 1.705 0.757 0.307 1.654 3.530
beta1_pH[14,4] 2.307 0.645 1.167 2.257 3.670
beta1_pH[15,4] 1.754 0.667 0.346 1.732 3.171
beta1_pH[16,4] 3.821 0.751 2.419 3.782 5.500
beta1_pH[11,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[12,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[13,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[14,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[15,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[16,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[1,1] 1.240 0.853 0.332 0.921 3.372
beta2_pH[2,1] 1.632 0.933 0.338 1.438 3.404
beta2_pH[3,1] 1.386 0.859 0.192 1.220 2.947
beta2_pH[4,1] 1.105 0.783 0.202 0.850 2.894
beta2_pH[5,1] 2.212 1.908 0.252 1.685 7.730
beta2_pH[6,1] 1.063 1.654 0.109 0.406 6.551
beta2_pH[7,1] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,1] 0.948 1.639 0.114 0.364 6.824
beta2_pH[9,1] 1.098 1.569 0.141 0.527 6.405
beta2_pH[10,1] 1.346 1.566 0.201 0.817 6.607
beta2_pH[11,1] 0.428 0.231 0.182 0.371 0.988
beta2_pH[12,1] 1.575 0.828 0.615 1.305 3.694
beta2_pH[13,1] 0.998 0.417 0.541 0.900 2.124
beta2_pH[14,1] 1.131 0.668 0.433 0.916 3.203
beta2_pH[15,1] 1.024 0.604 0.368 0.856 2.921
beta2_pH[16,1] 1.060 0.356 0.614 0.989 1.972
beta2_pH[1,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[2,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[3,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[4,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[5,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[6,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[7,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[9,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[10,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[11,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[12,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[13,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[14,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[15,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[16,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[1,3] 2.377 4.290 0.115 0.497 15.600
beta2_pH[2,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[3,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[4,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[5,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[6,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[7,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,3] 2.402 1.918 0.559 1.626 7.596
beta2_pH[9,3] 0.189 0.179 0.079 0.157 0.467
beta2_pH[10,3] 0.305 0.380 0.099 0.225 0.954
beta2_pH[11,3] -8.448 5.954 -22.363 -7.181 -0.435
beta2_pH[12,3] -8.392 6.023 -22.643 -7.065 -0.434
beta2_pH[13,3] -8.406 5.971 -22.785 -7.140 -0.534
beta2_pH[14,3] -8.422 5.896 -22.515 -7.176 -0.531
beta2_pH[15,3] -8.370 5.929 -22.616 -7.186 -0.522
beta2_pH[16,3] -8.415 5.981 -22.432 -7.107 -0.454
beta2_pH[11,4] -5.334 4.358 -16.869 -3.928 -0.642
beta2_pH[12,4] -5.978 4.359 -17.502 -4.836 -1.033
beta2_pH[13,4] -5.483 4.381 -17.325 -4.091 -0.806
beta2_pH[14,4] -5.520 4.268 -17.082 -4.136 -0.969
beta2_pH[15,4] -5.679 4.341 -17.063 -4.363 -0.801
beta2_pH[16,4] -5.706 4.185 -16.982 -4.273 -1.345
beta2_pH[11,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[12,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[13,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[14,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[15,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[16,5] 0.000 0.000 0.000 0.000 0.000
beta3_pH[1,1] 35.005 1.149 32.918 34.986 37.594
beta3_pH[2,1] 32.737 1.302 30.350 32.677 35.406
beta3_pH[3,1] 33.085 1.563 30.222 32.999 36.859
beta3_pH[4,1] 32.697 1.764 29.596 32.623 36.433
beta3_pH[5,1] 27.664 1.287 25.974 27.499 31.189
beta3_pH[6,1] 33.431 3.201 27.052 33.212 40.803
beta3_pH[7,1] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,1] 35.460 3.715 29.127 35.492 42.236
beta3_pH[9,1] 32.492 2.892 27.841 32.032 39.899
beta3_pH[10,1] 32.821 1.711 30.295 32.588 37.542
beta3_pH[11,1] 31.177 1.147 29.201 31.119 33.545
beta3_pH[12,1] 30.768 0.468 29.840 30.794 31.665
beta3_pH[13,1] 31.413 0.545 30.411 31.394 32.518
beta3_pH[14,1] 32.492 0.736 31.263 32.443 34.036
beta3_pH[15,1] 30.925 0.723 29.476 30.935 32.294
beta3_pH[16,1] 30.142 0.355 29.426 30.141 30.841
beta3_pH[1,2] 34.477 5.467 25.494 34.430 43.486
beta3_pH[2,2] 34.471 5.523 25.536 34.499 43.453
beta3_pH[3,2] 30.515 7.213 18.560 30.547 42.367
beta3_pH[4,2] 30.461 7.154 18.627 30.507 42.409
beta3_pH[5,2] 30.692 7.217 18.747 30.715 42.350
beta3_pH[6,2] 30.480 7.337 18.538 30.459 42.387
beta3_pH[7,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[9,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[10,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[11,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[12,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[13,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[14,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[15,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[16,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[1,3] 39.840 2.516 33.625 40.163 43.728
beta3_pH[2,3] 34.404 5.512 25.395 34.353 43.478
beta3_pH[3,3] 30.538 7.152 18.704 30.608 42.366
beta3_pH[4,3] 30.381 7.199 18.769 30.303 42.432
beta3_pH[5,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[6,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[7,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,3] 42.113 0.808 40.951 41.863 43.839
beta3_pH[9,3] 35.928 1.668 34.523 35.307 40.994
beta3_pH[10,3] 37.751 2.476 34.629 37.120 43.373
beta3_pH[11,3] 38.577 2.583 34.237 38.671 42.755
beta3_pH[12,3] 38.435 2.571 34.208 38.372 42.725
beta3_pH[13,3] 38.538 2.622 34.223 38.583 42.799
beta3_pH[14,3] 38.509 2.607 34.190 38.555 42.756
beta3_pH[15,3] 38.450 2.600 34.207 38.453 42.715
beta3_pH[16,3] 38.417 2.598 34.209 38.451 42.760
beta3_pH[11,4] 40.715 1.147 38.723 40.629 43.220
beta3_pH[12,4] 41.889 0.807 40.223 42.153 42.938
beta3_pH[13,4] 41.426 1.148 39.125 41.387 43.580
beta3_pH[14,4] 40.362 0.760 38.815 40.376 41.795
beta3_pH[15,4] 41.030 0.988 39.030 40.998 43.072
beta3_pH[16,4] 41.739 0.419 40.907 41.791 42.546
beta3_pH[11,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[12,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[13,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[14,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[15,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[16,5] 25.000 0.000 25.000 25.000 25.000
beta4_pH[1,1] 0.263 0.021 0.223 0.262 0.305
beta4_pH[2,1] 0.211 0.005 0.200 0.211 0.221
beta4_pH[3,1] 0.173 0.007 0.159 0.173 0.187
beta4_pH[4,1] 0.294 0.012 0.271 0.294 0.317
beta4_pH[5,1] 0.419 0.251 0.085 0.383 0.947
beta4_pH[6,1] 0.784 0.396 0.314 0.734 1.493
beta4_pH[7,1] 0.856 0.336 0.353 0.803 1.675
beta4_pH[8,1] 0.157 0.070 0.044 0.149 0.315
beta4_pH[9,1] 0.213 0.087 0.058 0.208 0.398
beta4_pH[10,1] 0.001 0.001 0.000 0.001 0.003
beta4_pH[11,1] 0.445 0.012 0.423 0.445 0.468
beta4_pH[12,1] 0.642 0.022 0.598 0.642 0.686
beta4_pH[13,1] 0.631 0.013 0.605 0.630 0.657
beta4_pH[14,1] 0.667 0.029 0.612 0.667 0.726
beta4_pH[15,1] 0.796 0.021 0.756 0.796 0.837
beta4_pH[16,1] 1.216 0.042 1.135 1.215 1.301
beta4_pH[1,2] 0.297 0.096 0.119 0.292 0.491
beta4_pH[2,2] 0.514 0.022 0.470 0.514 0.559
beta4_pH[3,2] 0.446 0.012 0.423 0.446 0.470
beta4_pH[4,2] 0.655 0.038 0.584 0.654 0.731
beta4_pH[5,2] 0.726 0.860 0.107 0.533 2.519
beta4_pH[6,2] 0.928 0.813 0.197 0.746 2.941
beta4_pH[7,2] 0.893 0.516 0.355 0.816 1.850
beta4_pH[8,2] 0.846 0.199 0.490 0.832 1.254
beta4_pH[9,2] 1.153 1.056 0.305 0.886 3.720
beta4_pH[10,2] 0.459 0.051 0.361 0.459 0.559
beta4_pH[11,2] 1.270 0.051 1.175 1.269 1.373
beta4_pH[12,2] 0.605 0.109 0.408 0.600 0.831
beta4_pH[13,2] 0.948 0.044 0.865 0.948 1.036
beta4_pH[14,2] 0.932 0.062 0.810 0.931 1.057
beta4_pH[15,2] 1.010 0.026 0.959 1.009 1.062
beta4_pH[16,2] 1.388 0.075 1.248 1.386 1.540
beta4_pH[1,3] 0.241 0.078 0.100 0.235 0.406
beta4_pH[2,3] 0.050 0.017 0.019 0.049 0.084
beta4_pH[3,3] 0.052 0.010 0.034 0.052 0.071
beta4_pH[4,3] 0.166 0.031 0.109 0.165 0.227
beta4_pH[5,3] 0.776 0.963 0.128 0.571 2.741
beta4_pH[6,3] 0.905 0.995 0.205 0.707 2.779
beta4_pH[7,3] 0.886 0.404 0.355 0.812 1.895
beta4_pH[8,3] 0.393 0.187 0.107 0.370 0.813
beta4_pH[9,3] 0.945 0.994 0.181 0.709 2.908
beta4_pH[10,3] 0.055 0.038 0.003 0.048 0.141
beta4_pH[11,3] 0.615 0.258 0.263 0.576 1.194
beta4_pH[12,3] 0.703 0.219 0.381 0.664 1.225
beta4_pH[13,3] 0.717 0.199 0.406 0.690 1.170
beta4_pH[14,3] 0.856 0.211 0.527 0.827 1.342
beta4_pH[15,3] 0.819 0.245 0.444 0.785 1.404
beta4_pH[16,3] 0.830 0.389 0.315 0.761 1.752
beta4_pH[1,4] 0.632 0.393 0.210 0.559 1.449
beta4_pH[2,4] 0.823 0.879 0.119 0.591 2.886
beta4_pH[3,4] 0.897 1.086 0.110 0.616 3.354
beta4_pH[4,4] 0.724 0.456 0.210 0.620 1.907
beta4_pH[5,4] 0.762 0.821 0.108 0.549 2.779
beta4_pH[6,4] 0.929 0.879 0.199 0.749 2.820
beta4_pH[7,4] 0.892 0.482 0.342 0.814 1.892
beta4_pH[8,4] 0.728 0.612 0.139 0.583 2.188
beta4_pH[9,4] 0.781 0.937 0.108 0.555 2.913
beta4_pH[10,4] 1.432 2.905 0.007 0.381 10.631
beta4_pH[11,4] 0.396 0.016 0.365 0.395 0.426
beta4_pH[12,4] 0.552 0.053 0.452 0.551 0.657
beta4_pH[13,4] 0.834 0.040 0.757 0.833 0.914
beta4_pH[14,4] 0.864 0.071 0.730 0.862 1.010
beta4_pH[15,4] 0.626 0.017 0.593 0.626 0.661
beta4_pH[16,4] 0.648 0.039 0.575 0.647 0.729
beta4_pH[1,5] 0.643 0.395 0.188 0.554 1.634
beta4_pH[2,5] 0.834 0.946 0.119 0.597 2.962
beta4_pH[3,5] 0.875 1.015 0.110 0.597 3.360
beta4_pH[4,5] 0.742 0.474 0.204 0.628 1.943
beta4_pH[5,5] 0.759 0.761 0.110 0.560 2.887
beta4_pH[6,5] 0.935 0.864 0.222 0.741 2.785
beta4_pH[7,5] 0.890 0.442 0.346 0.813 1.921
beta4_pH[8,5] 0.744 0.775 0.153 0.576 2.195
beta4_pH[9,5] 0.779 0.884 0.115 0.564 2.637
beta4_pH[10,5] 1.539 3.162 0.006 0.404 11.857
beta4_pH[11,5] 0.362 0.077 0.215 0.362 0.515
beta4_pH[12,5] 0.697 0.203 0.380 0.665 1.201
beta4_pH[13,5] 0.973 0.111 0.771 0.967 1.206
beta4_pH[14,5] 0.844 0.157 0.570 0.831 1.193
beta4_pH[15,5] 1.311 0.116 1.094 1.305 1.551
beta4_pH[16,5] 0.905 0.371 0.360 0.844 1.774
beta0_pelagic[1] 2.268 0.037 2.200 2.267 2.344
beta0_pelagic[2] 1.537 0.007 1.523 1.537 1.551
beta0_pelagic[3] 0.167 0.264 -0.511 0.229 0.544
beta0_pelagic[4] 0.222 0.232 -0.328 0.239 0.612
beta0_pelagic[5] 1.442 0.155 1.138 1.440 1.766
beta0_pelagic[6] 1.355 0.060 1.240 1.352 1.481
beta0_pelagic[7] 1.469 0.038 1.398 1.467 1.548
beta0_pelagic[8] 1.672 0.044 1.592 1.671 1.763
beta0_pelagic[9] 2.774 0.064 2.654 2.772 2.905
beta0_pelagic[10] 2.603 0.031 2.545 2.602 2.668
beta0_pelagic[11] -0.129 0.170 -0.536 -0.115 0.156
beta0_pelagic[12] 1.801 0.035 1.734 1.800 1.872
beta0_pelagic[13] -1.507 0.626 -2.685 -1.531 -0.288
beta0_pelagic[14] -0.282 0.176 -0.687 -0.264 0.012
beta0_pelagic[15] -0.207 0.035 -0.295 -0.194 -0.179
beta0_pelagic[16] -0.435 0.368 -1.323 -0.344 0.074
beta1_pelagic[1] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[2] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[3] 0.785 0.301 0.330 0.737 1.631
beta1_pelagic[4] 0.826 0.254 0.389 0.807 1.405
beta1_pelagic[5] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[6] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[7] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[8] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[9] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[10] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[11] 1.137 0.239 0.725 1.119 1.671
beta1_pelagic[12] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[13] 3.507 0.823 1.851 3.507 4.895
beta1_pelagic[14] 1.783 0.448 1.121 1.696 2.919
beta1_pelagic[15] 0.077 0.146 0.000 0.011 0.590
beta1_pelagic[16] 1.530 0.574 0.747 1.379 2.867
beta2_pelagic[1] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[2] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[3] 6.149 6.035 0.183 4.285 21.180
beta2_pelagic[4] 7.668 6.179 0.354 6.245 22.504
beta2_pelagic[5] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[6] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[7] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[8] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[9] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[10] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[11] 1.824 1.549 0.302 1.327 6.287
beta2_pelagic[12] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[13] 0.145 0.058 0.075 0.132 0.296
beta2_pelagic[14] 0.847 0.813 0.201 0.601 3.443
beta2_pelagic[15] 2.625 1.901 0.131 2.269 7.137
beta2_pelagic[16] 0.805 1.009 0.126 0.408 4.047
beta3_pelagic[1] 28.787 3.912 22.387 28.816 35.206
beta3_pelagic[2] 28.777 3.910 22.266 28.796 35.108
beta3_pelagic[3] 27.650 2.749 23.061 27.695 32.433
beta3_pelagic[4] 26.102 1.455 23.066 26.268 29.129
beta3_pelagic[5] 29.546 6.704 18.549 29.662 40.382
beta3_pelagic[6] 29.554 6.688 18.591 29.620 40.393
beta3_pelagic[7] 29.618 6.718 18.638 29.679 40.508
beta3_pelagic[8] 29.703 6.620 18.689 30.046 40.355
beta3_pelagic[9] 29.317 6.563 18.527 29.073 40.287
beta3_pelagic[10] 29.499 6.551 18.518 29.450 40.290
beta3_pelagic[11] 30.163 1.189 27.927 30.133 32.665
beta3_pelagic[12] 30.000 0.000 30.000 30.000 30.000
beta3_pelagic[13] 29.746 4.523 23.372 29.003 40.326
beta3_pelagic[14] 34.193 1.635 31.493 33.988 37.990
beta3_pelagic[15] 33.824 5.714 23.621 34.381 41.727
beta3_pelagic[16] 31.237 2.380 26.204 31.210 36.314
beta0_yellow[1] -0.484 0.079 -0.639 -0.484 -0.333
beta0_yellow[2] 0.544 0.079 0.371 0.550 0.680
beta0_yellow[3] -0.211 0.129 -0.468 -0.214 0.013
beta0_yellow[4] 0.887 0.268 0.081 0.966 1.192
beta0_yellow[5] 0.233 0.331 -0.479 0.260 0.817
beta0_yellow[6] 0.817 0.107 0.611 0.813 1.028
beta0_yellow[7] 1.012 0.102 0.811 1.012 1.216
beta0_yellow[8] 1.016 0.094 0.835 1.017 1.195
beta0_yellow[9] 0.444 0.099 0.243 0.447 0.628
beta0_yellow[10] 0.538 0.070 0.409 0.536 0.676
beta0_yellow[11] -0.221 0.206 -0.617 -0.189 0.013
beta0_yellow[12] -1.085 0.094 -1.273 -1.086 -0.905
beta0_yellow[13] -1.338 0.178 -1.708 -1.324 -1.042
beta0_yellow[14] -0.257 0.166 -0.592 -0.233 -0.009
beta0_yellow[15] -1.247 0.131 -1.571 -1.230 -1.038
beta0_yellow[16] -0.257 0.093 -0.443 -0.256 -0.075
beta1_yellow[1] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[2] 1.010 0.230 0.576 1.010 1.473
beta1_yellow[3] 0.470 0.248 0.020 0.480 0.920
beta1_yellow[4] 1.340 0.583 0.645 1.198 3.152
beta1_yellow[5] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[6] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[7] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[8] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[9] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[10] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[11] 0.275 0.358 0.001 0.085 1.199
beta1_yellow[12] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[13] 1.974 1.721 0.044 1.152 5.946
beta1_yellow[14] 0.675 0.885 0.013 0.443 3.340
beta1_yellow[15] 0.161 0.195 0.011 0.080 0.685
beta1_yellow[16] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[1] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[2] -7.679 5.681 -21.077 -6.517 -0.452
beta2_yellow[3] -7.844 5.945 -21.867 -6.511 -0.415
beta2_yellow[4] -5.476 5.825 -19.994 -3.388 -0.126
beta2_yellow[5] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[6] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[7] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[8] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[9] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[10] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[11] -7.860 5.838 -21.961 -6.754 -0.425
beta2_yellow[12] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[13] -5.385 5.298 -19.095 -3.424 -0.318
beta2_yellow[14] -6.935 5.427 -19.557 -5.681 -0.344
beta2_yellow[15] -7.518 5.549 -20.581 -6.293 -0.324
beta2_yellow[16] 0.000 0.000 0.000 0.000 0.000
beta3_yellow[1] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[2] 28.847 1.153 27.262 28.660 31.941
beta3_yellow[3] 32.382 3.361 23.011 32.517 39.034
beta3_yellow[4] 29.862 3.195 24.529 28.697 35.790
beta3_yellow[5] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[6] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[7] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[8] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[9] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[10] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[11] 35.505 4.024 30.395 34.372 43.668
beta3_yellow[12] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[13] 32.364 2.865 29.101 31.906 38.664
beta3_yellow[14] 33.984 3.540 29.175 33.556 42.912
beta3_yellow[15] 36.519 3.786 30.322 36.138 43.522
beta3_yellow[16] 35.000 0.000 35.000 35.000 35.000
beta0_black[1] 0.010 0.074 -0.127 0.009 0.153
beta0_black[2] 1.855 0.033 1.790 1.856 1.920
beta0_black[3] 1.239 0.038 1.164 1.238 1.313
beta0_black[4] 2.425 0.047 2.333 2.426 2.519
beta0_black[5] 5.127 2.349 1.855 4.689 11.080
beta0_black[6] 5.249 2.166 2.651 4.701 10.974
beta0_black[7] 4.104 2.114 1.616 3.565 10.136
beta0_black[8] 0.886 0.219 0.477 0.877 1.339
beta0_black[9] 2.809 0.270 2.304 2.807 3.357
beta0_black[10] 1.287 0.050 1.193 1.287 1.386
beta0_black[11] 2.977 0.052 2.872 2.977 3.079
beta0_black[12] 4.916 0.193 4.550 4.913 5.303
beta0_black[13] 0.437 0.330 0.019 0.362 1.234
beta0_black[14] 2.850 0.107 2.647 2.849 3.067
beta0_black[15] 0.721 0.052 0.618 0.721 0.824
beta0_black[16] 3.773 0.073 3.628 3.774 3.912
beta2_black[1] 0.000 0.000 0.000 0.000 0.000
beta2_black[2] 0.000 0.000 0.000 0.000 0.000
beta2_black[3] 0.000 0.000 0.000 0.000 0.000
beta2_black[4] 0.000 0.000 0.000 0.000 0.000
beta2_black[5] 0.000 0.000 0.000 0.000 0.000
beta2_black[6] 0.000 0.000 0.000 0.000 0.000
beta2_black[7] 0.000 0.000 0.000 0.000 0.000
beta2_black[8] 0.000 0.000 0.000 0.000 0.000
beta2_black[9] 0.000 0.000 0.000 0.000 0.000
beta2_black[10] 0.000 0.000 0.000 0.000 0.000
beta2_black[11] 0.000 0.000 0.000 0.000 0.000
beta2_black[12] 0.000 0.000 0.000 0.000 0.000
beta2_black[13] -2.564 1.794 -6.933 -2.146 -0.287
beta2_black[14] 0.000 0.000 0.000 0.000 0.000
beta2_black[15] 0.000 0.000 0.000 0.000 0.000
beta2_black[16] 0.000 0.000 0.000 0.000 0.000
beta3_black[1] 25.000 0.000 25.000 25.000 25.000
beta3_black[2] 25.000 0.000 25.000 25.000 25.000
beta3_black[3] 25.000 0.000 25.000 25.000 25.000
beta3_black[4] 25.000 0.000 25.000 25.000 25.000
beta3_black[5] 25.000 0.000 25.000 25.000 25.000
beta3_black[6] 25.000 0.000 25.000 25.000 25.000
beta3_black[7] 25.000 0.000 25.000 25.000 25.000
beta3_black[8] 25.000 0.000 25.000 25.000 25.000
beta3_black[9] 25.000 0.000 25.000 25.000 25.000
beta3_black[10] 25.000 0.000 25.000 25.000 25.000
beta3_black[11] 25.000 0.000 25.000 25.000 25.000
beta3_black[12] 25.000 0.000 25.000 25.000 25.000
beta3_black[13] 37.283 3.445 26.448 38.142 40.894
beta3_black[14] 25.000 0.000 25.000 25.000 25.000
beta3_black[15] 25.000 0.000 25.000 25.000 25.000
beta3_black[16] 25.000 0.000 25.000 25.000 25.000
beta4_black[1] -0.324 0.090 -0.503 -0.325 -0.148
beta4_black[2] 0.258 0.053 0.154 0.258 0.360
beta4_black[3] -0.720 0.066 -0.849 -0.720 -0.594
beta4_black[4] 0.629 0.131 0.381 0.627 0.892
beta4_black[5] 0.761 1.498 -1.178 0.477 4.256
beta4_black[6] 0.834 1.324 -0.887 0.576 4.045
beta4_black[7] 0.761 1.277 -1.012 0.518 3.861
beta4_black[8] 0.090 0.287 -0.521 0.102 0.625
beta4_black[9] 1.042 0.822 -0.101 0.884 3.089
beta4_black[10] 0.073 0.066 -0.056 0.073 0.204
beta4_black[11] -0.608 0.066 -0.737 -0.608 -0.480
beta4_black[12] 1.234 0.290 0.700 1.226 1.827
beta4_black[13] -1.006 0.077 -1.162 -1.003 -0.860
beta4_black[14] 0.219 0.183 -0.121 0.219 0.587
beta4_black[15] 0.005 0.047 -0.087 0.005 0.095
beta4_black[16] -0.418 0.116 -0.647 -0.417 -0.191
beta0_dsr[11] -0.337 0.009 -0.356 -0.337 -0.319
beta0_dsr[12] 1.422 0.044 1.338 1.421 1.508
beta0_dsr[13] 0.130 0.021 0.089 0.130 0.170
beta0_dsr[14] -0.134 0.017 -0.167 -0.135 -0.100
beta0_dsr[15] 0.184 0.014 0.156 0.184 0.210
beta0_dsr[16] 0.208 0.015 0.179 0.208 0.238
beta1_dsr[11] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[12] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[13] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[14] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[15] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[16] 0.000 0.000 0.000 0.000 0.000
beta4_dsr[11] 0.550 0.035 0.481 0.550 0.619
beta4_dsr[12] 0.814 0.243 0.350 0.814 1.304
beta4_dsr[13] -0.045 0.041 -0.125 -0.045 0.036
beta4_dsr[14] -0.205 0.071 -0.339 -0.205 -0.061
beta4_dsr[15] 0.237 0.021 0.195 0.237 0.279
beta4_dsr[16] -0.099 0.046 -0.186 -0.101 -0.007
beta0_slope[11] -2.201 0.021 -2.242 -2.201 -2.161
beta0_slope[12] -5.435 0.228 -5.880 -5.430 -4.991
beta0_slope[13] -1.456 0.034 -1.524 -1.456 -1.389
beta0_slope[14] -2.693 0.050 -2.794 -2.692 -2.598
beta0_slope[15] -1.566 0.021 -1.609 -1.566 -1.525
beta0_slope[16] -3.013 0.046 -3.105 -3.012 -2.923
beta1_slope[11] 0.000 0.000 0.000 0.000 0.000
beta1_slope[12] 0.000 0.000 0.000 0.000 0.000
beta1_slope[13] 0.000 0.000 0.000 0.000 0.000
beta1_slope[14] 0.000 0.000 0.000 0.000 0.000
beta1_slope[15] 0.000 0.000 0.000 0.000 0.000
beta1_slope[16] 0.000 0.000 0.000 0.000 0.000
beta4_slope[11] -0.341 0.078 -0.497 -0.339 -0.194
beta4_slope[12] -4.660 0.811 -6.318 -4.623 -3.176
beta4_slope[13] 0.281 0.053 0.177 0.281 0.389
beta4_slope[14] -0.178 0.153 -0.485 -0.174 0.106
beta4_slope[15] -0.387 0.033 -0.450 -0.387 -0.324
beta4_slope[16] 0.219 0.106 0.000 0.219 0.423
beta5_slope[11] 3.080 0.110 2.874 3.079 3.294
beta5_slope[12] 2.004 0.385 1.299 1.990 2.811
beta5_slope[13] 0.934 0.083 0.772 0.934 1.095
beta5_slope[14] 3.799 0.369 3.118 3.785 4.549
beta5_slope[15] 1.388 0.073 1.250 1.387 1.534
beta5_slope[16] 2.684 0.233 2.263 2.671 3.165
tau_comp[1] 3.768 0.288 3.224 3.761 4.355
tau_comp[2] 2.846 0.257 2.376 2.834 3.375
tau_comp[3] 0.869 0.074 0.731 0.866 1.018
tau_comp[4] 1.280 0.197 0.938 1.268 1.697
tau_comp[5] 1.202 0.182 0.874 1.190 1.582
sigma_H[1] 0.205 0.047 0.121 0.202 0.309
sigma_H[2] 0.175 0.028 0.126 0.172 0.236
sigma_H[3] 0.187 0.042 0.114 0.185 0.278
sigma_H[4] 0.462 0.080 0.329 0.452 0.642
sigma_H[5] 0.962 0.201 0.596 0.951 1.392
sigma_H[6] 0.546 0.189 0.185 0.542 0.950
sigma_H[7] 0.309 0.063 0.217 0.300 0.455
sigma_H[8] 0.424 0.089 0.286 0.412 0.621
sigma_H[9] 0.515 0.122 0.328 0.501 0.793
sigma_H[10] 0.210 0.039 0.144 0.207 0.295
sigma_H[11] 0.265 0.044 0.193 0.261 0.363
sigma_H[12] 0.377 0.144 0.198 0.332 0.711
sigma_H[13] 0.218 0.036 0.158 0.214 0.297
sigma_H[14] 0.501 0.090 0.349 0.492 0.693
sigma_H[15] 0.235 0.037 0.172 0.232 0.313
sigma_H[16] 0.211 0.041 0.143 0.207 0.301
lambda_H[1] 2.231 3.324 0.073 1.040 11.668
lambda_H[2] 5.011 4.791 0.509 3.555 18.341
lambda_H[3] 5.517 8.202 0.298 2.812 27.555
lambda_H[4] 0.007 0.004 0.001 0.005 0.018
lambda_H[5] 2.895 8.003 0.026 0.709 22.826
lambda_H[6] 6.005 12.628 0.009 0.341 43.661
lambda_H[7] 0.012 0.008 0.002 0.010 0.034
lambda_H[8] 8.343 10.995 0.104 4.596 39.484
lambda_H[9] 0.015 0.010 0.003 0.013 0.038
lambda_H[10] 0.227 0.336 0.026 0.156 0.776
lambda_H[11] 0.228 0.386 0.010 0.106 1.107
lambda_H[12] 3.556 4.256 0.169 2.150 15.382
lambda_H[13] 3.127 2.904 0.251 2.303 10.929
lambda_H[14] 3.444 3.914 0.261 2.192 14.445
lambda_H[15] 0.021 0.062 0.003 0.014 0.066
lambda_H[16] 0.477 0.713 0.032 0.246 2.393
mu_lambda_H[1] 4.047 1.883 1.056 3.830 8.192
mu_lambda_H[2] 3.673 1.919 0.577 3.512 7.805
mu_lambda_H[3] 3.341 1.814 0.745 3.018 7.539
sigma_lambda_H[1] 8.131 4.353 1.690 7.478 18.041
sigma_lambda_H[2] 8.117 4.655 1.037 7.511 18.201
sigma_lambda_H[3] 6.167 4.016 0.997 5.182 16.160
beta_H[1,1] 6.496 1.359 3.284 6.713 8.459
beta_H[2,1] 9.754 0.610 8.477 9.796 10.839
beta_H[3,1] 7.853 0.796 5.987 7.941 9.175
beta_H[4,1] 10.699 7.843 -5.036 10.907 25.775
beta_H[5,1] -0.314 2.542 -5.505 -0.148 4.128
beta_H[6,1] 3.216 4.284 -7.437 4.735 8.213
beta_H[7,1] 1.352 5.742 -10.892 1.644 11.890
beta_H[8,1] 1.344 4.055 -2.690 1.212 3.579
beta_H[9,1] 13.528 5.690 2.119 13.551 25.437
beta_H[10,1] 6.726 1.792 3.119 6.797 10.141
beta_H[11,1] 4.791 3.468 -2.981 5.360 9.787
beta_H[12,1] 2.569 1.121 0.688 2.517 4.864
beta_H[13,1] 9.088 0.913 7.012 9.151 10.646
beta_H[14,1] 2.170 0.966 0.343 2.174 4.131
beta_H[15,1] -7.001 3.470 -13.328 -7.145 0.512
beta_H[16,1] 3.972 2.901 -0.869 3.620 10.462
beta_H[1,2] 7.773 0.277 7.227 7.774 8.297
beta_H[2,2] 9.874 0.164 9.533 9.875 10.190
beta_H[3,2] 8.793 0.198 8.404 8.791 9.181
beta_H[4,2] 2.986 1.479 0.182 2.953 6.080
beta_H[5,2] 1.724 0.996 -0.207 1.728 3.594
beta_H[6,2] 6.029 1.118 3.441 6.202 7.729
beta_H[7,2] 2.372 1.065 0.473 2.311 4.730
beta_H[8,2] 2.994 1.131 1.237 3.132 4.204
beta_H[9,2] 3.222 1.094 1.146 3.212 5.422
beta_H[10,2] 8.046 0.364 7.324 8.045 8.783
beta_H[11,2] 9.830 0.630 8.857 9.729 11.201
beta_H[12,2] 3.932 0.372 3.243 3.924 4.704
beta_H[13,2] 9.157 0.238 8.731 9.137 9.632
beta_H[14,2] 4.022 0.343 3.348 4.027 4.717
beta_H[15,2] 11.540 0.627 10.225 11.573 12.721
beta_H[16,2] 4.468 0.813 2.982 4.451 6.094
beta_H[1,3] 8.444 0.265 7.969 8.435 8.969
beta_H[2,3] 9.857 0.150 9.565 9.855 10.150
beta_H[3,3] 9.462 0.163 9.161 9.459 9.795
beta_H[4,3] -2.152 0.877 -3.908 -2.134 -0.447
beta_H[5,3] 3.897 0.599 2.732 3.898 5.088
beta_H[6,3] 8.350 1.153 6.741 8.019 10.806
beta_H[7,3] -2.549 0.627 -3.843 -2.526 -1.320
beta_H[8,3] 5.292 0.520 4.694 5.212 6.417
beta_H[9,3] -2.741 0.703 -4.154 -2.731 -1.383
beta_H[10,3] 8.546 0.273 8.011 8.543 9.092
beta_H[11,3] 8.498 0.290 7.878 8.513 9.023
beta_H[12,3] 5.268 0.312 4.568 5.306 5.789
beta_H[13,3] 8.866 0.177 8.513 8.870 9.195
beta_H[14,3] 5.788 0.265 5.198 5.807 6.260
beta_H[15,3] 10.280 0.301 9.685 10.279 10.887
beta_H[16,3] 5.909 0.593 4.707 5.934 7.012
beta_H[1,4] 8.101 0.187 7.717 8.110 8.456
beta_H[2,4] 9.843 0.129 9.572 9.848 10.086
beta_H[3,4] 9.954 0.152 9.634 9.962 10.232
beta_H[4,4] 11.797 0.478 10.846 11.801 12.739
beta_H[5,4] 5.591 0.739 4.364 5.524 7.296
beta_H[6,4] 7.209 0.920 5.261 7.455 8.517
beta_H[7,4] 8.536 0.347 7.843 8.536 9.205
beta_H[8,4] 6.720 0.249 6.203 6.735 7.131
beta_H[9,4] 7.448 0.440 6.578 7.443 8.339
beta_H[10,4] 7.529 0.222 7.117 7.520 7.976
beta_H[11,4] 9.502 0.190 9.149 9.498 9.892
beta_H[12,4] 7.256 0.198 6.860 7.250 7.680
beta_H[13,4] 9.064 0.141 8.775 9.067 9.326
beta_H[14,4] 7.832 0.214 7.431 7.826 8.277
beta_H[15,4] 9.470 0.227 9.030 9.473 9.922
beta_H[16,4] 9.437 0.239 8.982 9.434 9.906
beta_H[1,5] 8.896 0.156 8.571 8.902 9.185
beta_H[2,5] 10.673 0.101 10.488 10.668 10.887
beta_H[3,5] 10.761 0.161 10.472 10.755 11.091
beta_H[4,5] 8.343 0.499 7.421 8.337 9.396
beta_H[5,5] 5.195 0.594 3.828 5.269 6.148
beta_H[6,5] 8.961 0.635 8.020 8.821 10.386
beta_H[7,5] 6.579 0.346 5.931 6.574 7.262
beta_H[8,5] 8.245 0.206 7.906 8.232 8.691
beta_H[9,5] 8.174 0.451 7.245 8.176 9.053
beta_H[10,5] 10.036 0.227 9.595 10.037 10.485
beta_H[11,5] 11.597 0.219 11.171 11.594 12.047
beta_H[12,5] 8.612 0.187 8.237 8.610 8.985
beta_H[13,5] 10.134 0.129 9.891 10.131 10.403
beta_H[14,5] 9.236 0.217 8.828 9.227 9.688
beta_H[15,5] 11.309 0.238 10.823 11.306 11.767
beta_H[16,5] 9.855 0.184 9.496 9.859 10.207
beta_H[1,6] 10.124 0.250 9.749 10.088 10.741
beta_H[2,6] 11.472 0.114 11.239 11.470 11.701
beta_H[3,6] 10.621 0.155 10.287 10.629 10.902
beta_H[4,6] 12.924 0.883 11.092 12.967 14.580
beta_H[5,6] 5.645 0.636 4.551 5.604 6.991
beta_H[6,6] 8.736 0.572 7.466 8.769 9.801
beta_H[7,6] 10.530 0.589 9.360 10.541 11.693
beta_H[8,6] 9.522 0.275 9.017 9.534 9.962
beta_H[9,6] 8.329 0.762 6.890 8.329 9.852
beta_H[10,6] 9.154 0.342 8.445 9.177 9.781
beta_H[11,6] 10.686 0.362 9.918 10.715 11.340
beta_H[12,6] 9.374 0.236 8.934 9.368 9.884
beta_H[13,6] 11.092 0.152 10.804 11.090 11.399
beta_H[14,6] 9.927 0.273 9.380 9.926 10.465
beta_H[15,6] 10.532 0.424 9.687 10.532 11.349
beta_H[16,6] 10.587 0.257 10.060 10.593 11.071
beta_H[1,7] 10.140 1.321 6.701 10.456 11.881
beta_H[2,7] 12.129 0.514 11.069 12.161 13.065
beta_H[3,7] 10.297 0.662 8.880 10.351 11.391
beta_H[4,7] 1.390 4.500 -7.125 1.263 10.737
beta_H[5,7] 5.785 2.060 1.770 5.824 9.766
beta_H[6,7] 7.189 3.124 -0.738 8.267 10.893
beta_H[7,7] 7.724 2.961 1.803 7.665 13.751
beta_H[8,7] 10.886 1.017 9.265 10.858 12.587
beta_H[9,7] 4.780 3.917 -3.030 4.888 12.497
beta_H[10,7] 10.007 1.576 7.195 9.868 13.284
beta_H[11,7] 11.383 1.774 8.271 11.205 15.310
beta_H[12,7] 9.786 0.945 7.686 9.865 11.416
beta_H[13,7] 11.717 0.698 10.082 11.778 12.902
beta_H[14,7] 10.626 0.874 8.784 10.648 12.225
beta_H[15,7] 14.034 2.214 9.664 14.049 18.313
beta_H[16,7] 12.912 1.371 10.437 12.823 15.787
beta0_H[1] 9.088 18.460 -27.546 8.890 47.514
beta0_H[2] 10.662 8.278 -5.455 10.512 26.608
beta0_H[3] 9.798 10.163 -9.812 9.729 29.169
beta0_H[4] 2.516 177.401 -367.484 6.227 368.278
beta0_H[5] 3.256 30.840 -57.653 4.102 57.075
beta0_H[6] 7.108 52.665 -106.289 7.531 124.058
beta0_H[7] 1.512 132.956 -274.870 3.613 264.670
beta0_H[8] 6.470 28.703 -20.019 6.436 29.712
beta0_H[9] 10.155 123.687 -240.352 8.527 256.978
beta0_H[10] 10.532 38.308 -68.185 11.026 91.387
beta0_H[11] 8.622 53.267 -104.895 9.384 121.069
beta0_H[12] 6.853 12.132 -16.790 6.586 33.257
beta0_H[13] 9.460 11.248 -13.541 9.645 32.299
beta0_H[14] 7.299 11.107 -14.652 7.314 30.148
beta0_H[15] 12.782 118.120 -214.421 10.951 266.683
beta0_H[16] 7.622 31.780 -55.845 7.739 67.353